PhD, Genetic Epidemiology

Lund University

Malmö, SE

2023 - 2018

• Thesis: Use of data mining and artificial intelligence to derive public health evidence from large datasets
• Project 1: Ethnic, gender and other sociodemographic biases in genome-wide association studies for the most burdensome non-communicable diseases: 2005-2022
• Project 2&3: COVID Symptom Study

Master of Medical Science in Public Health and Epidemiology

Lund University

Lund, SE

2018 - 2016

• Thesis: A global overview of Precision Medicine in type 2 diabetes: a systematic review.

Exercise Sciences

Kent State University

Kent, US

2013 - 2012

• Exchange Student - Science without Borders Program

Bachelors degree in Physiotherapy

Universidade Federal de Pernambuco

Recife, BR

2013 - 2008

• Thesis: Effects of taping on the contractile activity and strengthening of skeletal muscles: a narrative review (free translation from Portuguese).

Postdoctoral Fellow

Diabetic Complications unit

Lund University

Current - 2023

• My current work is part of the EU-funded projects BEAt-DKD and PRIME-CKD, where I use AI to identify and validate prognostic and predictive biomarkers for rapid aggressive disease progression in diabetic kidney disease (DKD) and identify potential targets for new drugs.

Summer Research Intern

GAME unit

Lund University

2018

• During this period I’ve worked on a scientometric review of the type 2 diabetes GWAS papers indexed in PubMed. I’ve created a data science tool (R package) that uses NLP’ Named Entity Recognition to extract relevant information from raw text data.

Research intern

GAME unit

Lund University

2018 - 2017

• Independently analyzed and constructed data-mining models for large data sets.
• Implementation of Machine Learning algorithms for prediction of Gene x Environment interactions;
• Big data management (genomic Biobank and meta-analysis);

Freelance Data Scientist

N/A

Remote

2018 - 2018

• During this short period of time, I’ve worked mainly on projects related to text mining, machine learning, predictive modeling, and academic research.

Machine Learning: Leveraging Data Insights

MIT Professional Education

N/A

Current - 2022

• With this online program in Machine Learning, participants will learn the four-step process of machine learning that leads from analyzing data to evaluating the effectiveness of decisions made based on that data. At the end of the program participants will have a better understanding of how machine learning tools and techniques contribute to more efficient decision making in many different environments.

AI for image and video data

Lund University

Lund, SE

2021 - 2021

• The course covers typical image analysis tasks that can be solved by deep learning models, e.g. classification, object detection, segmentation and image generation and practical applications of this. It also goes through the basic building blocks of deep learning models, typical architectures used for image analysis tasks and the steps required to train and evaluate models.

Artificial Neural Network and Deep Learning

Lund University

Lund, SE

2020 - 2020

• A brief introduction to artificial neural networks - workshop.

Introduction to Natural Language Processing and Text Mining

Lund University

Lund, SE

2020 - 2020

• This workshop aims to give an introduction to quantitative methods for analyzing text. We will illustrate a few tools, resources and workflows, including word embeddings, text clustering and binary text classification.

Introduction to Deep Learning

Lund University

Lund, SE

2020 - 2020

• The aim of this course is to introduce students to common deep learning architectures such as multi-layer perceptrons, convolutional neural networks, and recurrent models such as the LSTM.

Deep Learning

University of Copenhagen

Copenhagen, DN

2019 - 2019

• A thorough introduction to the foundations of machine learning, especially neural networks including their training; Introduction to convolutional neural networks and recurrent neural networks; Training and applying convolutional and recurrent neural networks for image analysis; Making use of data augmentation and other preprocessing steps to further improve the generalization performance.

ACCESS Forum travel allowance and participation

ACCESS (Academic Collaboration Chile Sweden)

N/A

2022

• The ACCESS forum “Reconnecting for a Sustainable Future” offered a unique opportunity for academic communities from Sweden and Chile to come together, network, and exchange experiences. Parallel discussions on various research themes, virtual sessions, and presentations on funding opportunities were the main activities during the forum. The forum took place in Punta Arenas, Chile from November 7-11, 2022.

Microsoft Power BI Scholarship Program

Microsoft & Dataquest

N/A

2022

• Dataquest and Microsoft have partnered to offer the first interactive Power BI courses. These courses teach Power BI through a project-based, in-browser approach. This prepares learners for real-world skill application, increasing comprehension and confidence. After completing the 12-week program, learners will be well prepared to pass the PL-300 Microsoft Power BI Data Analyst Exam and continue advancing their data careers.

PyCon US 2022 Financial Aid

Python Software Foundation

N/A

2022

• Financial aid recipients receive support for some or all of their expenses including transportation, hotel, and childcare. Because PyCon is the largest Python conference in the world, it’s a meeting place for Python developers from around the world. Therefore, the financial aid award process is designed to enhance PyCon, including speakers, tutorial presenters, and notable open source contributors.

Becas Santander Tech | Emerging Technologies Program by MIT Professional Education

Massachusetts Institute of Technology (MIT)

N/A

2022

• The “Becas Santander Tech - Emerging Technologies Program by MIT Professional Education” facilitates and promotes the knowledge and use of the emerging innovative technological tools most in demand in companies and will be developed during the 2022 academic year. The main objective of the Program is to offer a relevant and practical learning experience, providing knowledge and skills to learn asynchronously and to be able to put into practice immediately.

Bertelsmann Technology Scholarship

Udacity & Bertelsmann

N/A

2021

• Technology Scholarship Program powered by Bertelsmann for the Intro to ML with Tensor Flow Challenge Course.

Nordic Probabilistic AI School 2021

Norwegian University of Science and Technology (NTNU)

N/A

2021

• The mission of the Nordic Probabilistic AI School (ProbAI) is to serve state-of-the-art expertise in machine learning and artificial intelligence to the public, students, academia, and industry. The selection of participants is based on multiple criteria such as experience, institution affiliation, geographical location, gender. The selection process is based on the submitted material and will be executed by a diversified committee of trusted experts.

Virtual ODSC East 2020 Scholarship

Open Data Science Conference

Remote

2020

• Each year, candidates who have distinguished themselves through outstanding academic achievement and personal excellence are chosen to attend the Open Data Science Conference.

Udacity Technology Scholarship powered by Bertelsmann (Deep Learning Nanodegree)

Udacity & Bertelsmann

Remote

2020

• Out of thousands of students in the Technology Scholarship Challenge Course, the progress in the course and dedication in the community stood out and the student was awarded a full Deep Learning Nanodegree.

PyCon US 2020 Financial Aid

Python Software Foundation

Pittsburgh, US

2020

• Financial aid recipients receive support for some or all of their expenses including transportation, hotel, and childcare. Because PyCon is the largest Python conference in the world, it’s a meeting place for Python developers from around the world. Therefore, the financial aid award process is designed to enhance PyCon, including speakers, tutorial presenters, and notable open source contributors.

Bertelsmann Scholarship

Udacity & Bertelsmann

Remote

2019

• Bertelsmann’s media, services and educational offerings make it a leader in many areas of the digital world. Accordingly, the company wants to empower as many people as possible to be successful in the digital world. The initial 2019–2020 phase of the program is a two-stage scholarship, open to any student, 18 years of age or older, interested in Cloud Computing, Data Science or Artificial Intelligence. Recipients will spend 3.5 months learning key components for Cloud Computing, Data Analysis, or Artificial Intelligence. Top students from this initial phase will earn a full Nanodegree program scholarship.

ODSC Europe 2019 Scholarship

Open Data Science Conference

London, UK

2019

• Each year, candidates who have distinguished themselves through outstanding academic achievement and personal excellence are chosen to attend the Open Data Science Conference.

Medicinska fakulteten resebidrag för forskarstuderande

Lund University

Lund, SE

2019

• This grant is to cover travel costs to other institutions in Sweden or abroad which are related to the PhD education. All PhD students that are enrolled in the postgraduate education programme with the Faculty of Medicine in Lund/Malmö are eligible for this grant.

Summer Research Scholarship

Lund University

Lund, SE

2018

• The purpose of the summer scholarships is to make students interested in research and take the shape of two-month-long research projects.

Swedish Institute Study Scholarship

Svenska Institutet

Stockholm, SE

2018 - 2016

• The Swedish Institute (SI), a government agency, offers scholarships each year for international students and researchers coming to Sweden. The programme offers a unique opportunity for future leaders to develop professionally and academically, to experience Swedish society and culture and to build a long-lasting relationship with Sweden and each other.

Scholarship - Science without Borders (Ciência sem Fronteiras)

Conselho Nacional de Desenvolvimento Científico e Tecnológico - “National Counsel of Technological and Scientific Development”​

Kent, US

2013 - 2012

• Science without Borders is a large-scale nationwide scholarship program primarily funded by the Brazilian federal government. The program seeks to strengthen and expand the initiatives of science and technology, innovation and competitiveness through international mobility of undergraduate and graduate students and researchers.

Scholarship - Programa de Educação pelo Trabalho para a Saúde (PET-Saúde)

Ministry of Health, Brazil

Recife, BR

2012 - 2010

• As one of the intersectoral actions directed towards strengthening the primary care and health surveillance, in accordance with the principles and requirements of the Sistema Único de Saúde - SUS, the program presupposes education through work and provides scholarships for tutors, preceptors, and healthcare undergraduate students. The program is part of the strategies of the Programa Nacional de Reorientação da Formação Profissional em Saúde (PRÓ-SAÚDE), implemented in the country since 2005.

Identification of biomarkers for glycaemic deterioration in type 2 diabetes

Roderick C. Slieker, Louise A. Donnelly, Elina Akalestou, Livia Lopez-Noriega, Rana Melhem, Ayşim Güneş, Frederic Abou Azar, Alexander Efanov, Eleni Georgiadou, Hermine Muniangi-Muhitu, Mahsa Sheikh, Giuseppe N. Giordano, Mikael Åkerlund, Emma Ahlqvist, Ashfaq Ali, Karina Banasik, Søren Brunak, Marko Barovic, Gerard A. Bouland, Frédéric Burdet, Mickaël Canouil, Iulian Dragan, Petra J. M. Elders, Celine Fernandez, Andreas Festa, Hugo Fitipaldi, …, Ewan R. Pearson & Guy A. Rutter. Nat Commun. 2023 May 3;14(1):2533. doi: 10.1038/s41467-023-38148-7. PMID: 37137910; PMCID: PMC10156700.

N/A

2023

Second international consensus report on gaps and opportunities for the clinical translation of precision diabetes medicine

Deirdre K. Tobias, Jordi Merino, Abrar Ahmad, Catherine Aiken, Jamie L. Benham, Dhanasekaran Bodhini, … Hugo Fitipaldi, … Maria F. Gomez, Peter A. Gottlieb, Siri Atma W. Greeley, Kurt Griffin, Andrew T. Hattersley, Irl B. Hirsch, Marie-France Hivert, Korey K. Hood, Jami L. Josefson, Soo Heon Kwak, Lori M. Laffel, Siew S. Lim, Ruth J. F. Loos, Ronald C. W. Ma, Chantal Mathieu, Nestoras Mathioudakis, James B. Meigs, Shivani Misra, Viswanathan Mohan, Rinki Murphy, Richard Oram, Katharine R. Owen, Susan E. Ozanne, Ewan R. Pearson, Wei Perng, Toni I. Pollin, Rodica Pop-Busui, Richard E. Pratley, Leanne M. Redman, Maria J. Redondo, Rebecca M. Reynolds, Robert K. Semple, Jennifer L. Sherr, Emily K. Sims, Arianne Sweeting, Tiinamaija Tuomi, Miriam S. Udler, Kimberly K. Vesco, Tina Vilsbøll, Robert Wagner, Stephen S. Rich & Paul W. Franks. Nat Med. 2023 Oct;29(10):2438-2457. doi: 10.1038/s41591-023-02502-5. Epub 2023 Oct 5. PMID: 37794253; PMCID: PMC10735053.

N/A

2023

Sociodemographic characteristics and COVID-19 testing rates: spatiotemporal patterns and impact of test accessibility in Sweden

Beatrice Kennedy, Georgios Varotsis, Ulf Hammar, Diem Nguyen, Germán D Carrasquilla, Vera van Zoest, Robert S Kristiansson, Hugo Fitipaldi, Koen F Dekkers, Meena Daivadanam, Mats Martinell, Jonas Björk, Tove Fall. Eur J Public Health. 2023 Nov 27:ckad209. doi: 10.1093/eurpub/ckad209. Epub ahead of print. PMID: 38011903.

N/A

2023

A phenome-wide comparative analysis of genetic discordance between obesity and type 2 diabetes

Coral, D. E., Fernandez-Tajes, J., Tsereteli, N., Pomares-Millan, H., Fitipaldi, H., Mutie, P. M., Atabaki-Pasdar, N., Kalamajski, S., Poveda, A., Miller-Fleming, T. W., Zhong, X., Giordano, G. N., Pearson, E. R., Cox, N. J. & Franks, P. W., 2023 Jan 26, (E-pub ahead of print) In: Nature Metabolism. 16 p.

N/A

2023

Discovery of drug–omics associations in type 2 diabetes with generative deep-learning models

Allesøe RL, Lundgaard AT, Hernández Medina R, Aguayo-Orozco A, Johansen J, Nissen JN, Brorsson C, Mazzoni G, Niu L, Biel JH, Brasas V, Webel H, Benros ME, Pedersen AG, Chmura PJ, Jacobsen UP, Mari A, Koivula R, Mahajan A, Vinuela A, Tajes JF, Sharma S, Haid M, Hong MG, Musholt PB, De Masi F, Vogt J, Pedersen HK, Gudmundsdottir V, Jones A, Kennedy G, Bell J, Thomas EL, Frost G, Thomsen H, Hansen E, Hansen TH, Vestergaard H, Muilwijk M, Blom MT, ’t Hart LM, Pattou F, Raverdy V, Brage S, Kokkola T, Heggie A, McEvoy D, Mourby M, Kaye J, Hattersley A, McDonald T, Ridderstråle M, Walker M, Forgie I, Giordano GN, Pavo I, Ruetten H, Pedersen O, Hansen T, Dermitzakis E, Franks PW, Schwenk JM, Adamski J, McCarthy MI, Pearson E, …Fitipaldi H…., Banasik K, Rasmussen S, Brunak S;., In: Nature Biotechnology.

N/A

2023

Investigating the causal relationships between excess adiposity and cardiometabolic health in men and women

Mutie, P. M., Pomares-Milan, H., Atabaki-Pasdar, N., Coral, D., Fitipaldi, H., Tsereteli, N., Tajes, J. F., Franks, P. W. & Giordano, G. N., 2023, In: Diabetologia. 66, 2 , p. 321-335

N/A

2023

Ethnic, gender and other sociodemographic biases in genome-wide association studies for the most burdensome non-communicable diseases: 2005-2022

Fitipaldi, H. & Franks, P. W., 2005-2022. Hum Mol Genet. 2023 Jan 13;32(3):520-532. doi: 10.1093/hmg/ddac245. PMID: 36190496; PMCID: PMC9851743.

N/A

2023

App-based COVID-19 syndromic surveillance and prediction of hospital admissions in COVID Symptom Study Sweden

Kennedy, B., Fitipaldi, H., Hammar, U., Maziarz, M., Tsereteli, N., Oskolkov, N., Varotsis, G., Franks, C. A., Nguyen, D., Spiliopoulos, L., Adami, H-O., Björk, J., Engblom, S., Fall, K., Grimby-Ekman, A., Litton, J-E., Martinell, M., Oudin, A., Sjöström, T., Timpka, T., & 16 others, 2022 Apr 21, In: Nature Communications. 13, 1, 12 p., 2110.

N/A

2022

Distinct Molecular Signatures of Clinical Clusters in People with Type 2 Diabetes: an IMIRHAPSODY Study

Slieker, R. C., Donnelly, L. A., Fitipaldi, H., Bouland, G. A., Giordano, G. N., Åkerlund, M., Gerl, M. J., Ahlqvist, E., Ali, A., Dragan, I., Elders, P., Festa, A., Hansen, M. K., van der Heijden, A. A., Aly, D. M., Kim, M., Kuznetsov, D., Mehl, F., Klose, C., Simons, K., & 15 others, 2021, In: Diabetes. 70, 11, p. 2683-2693

N/A

2021

Replication and cross-validation of T2D subtypes based on clinical variables: an IMI-RHAPSODY study

Slieker, R. C., Donnelly, L. A., Fitipaldi, H., Bouland, G. A., Giordano, G. N., Åkerlund, M., Gerl, M. J., Ahlqvist, E., Ali, A., Dragan, I., Festa, A., Hansen, M. K., Mansour Aly, D., Kim, M., Kuznetsov, D., Mehl, F., Klose, C., Simons, K., Pavo, I., Pullen, T. J., & 13 others, 2021, In: Diabetologia. 64, 9, p. 1982-1989 8 p.

N/A

2021

Large differences in community COVID-19 testing across geographic areas in a Swedish region with 385,000 inhabitants

N/A

N/A

2021

Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

Atabaki-Pasdar N, Ohlsson M, Viñuela A, Frau F, Pomares-Millan H, Haid M, Jones AG, Thomas EL, Koivula RW, Kurbasic A, Mutie PM, Fitipaldi H, Fernandez J, Dawed AY, Giordano GN, Forgie IM, McDonald TJ, Rutters F, Cederberg H, Chabanova E, Dale M, Masi F, Thomas CE, Allin KH, Hansen TH, Heggie A, Hong MG, Elders PJM, Kennedy G, Kokkola T, Pedersen HK, Mahajan A, McEvoy D, Pattou F, Raverdy V, Häussler RS, Sharma S, Thomsen HS, Vangipurapu J, Vestergaard H, ’t Hart LM, Adamski J, Musholt PB, Brage S, Brunak S, Dermitzakis E, Frost G, Hansen T, Laakso M, Pedersen O, Ridderstråle M, Ruetten H, Hattersley AT, Walker M, Beulens JWJ, Mari A, Schwenk JM, Gupta R, McCarthy MI, Pearson ER, Bell JD, Pavo I, Franks PW., 2020, In: PLoS Medicine. 17, 6, p. e1003149

N/A

2020

Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration

Wilman HR, Parisinos CA, Atabaki-Pasdar N, Kelly M, Thomas EL, Neubauer S… Fitipaldi H, … Mahajan A, Hingorani AD, Patel RS, Hemingway H, Franks PW, Bell JD, Banerjee R, Yaghootkar H., 2019, In: Journal of Hepatology. 71, 3, p. 594-602

N/A

2019

A global overview of Precision Medicine in type 2 diabetes

Fitipaldi, H., McCarthy, M. I., Florez, J. C. & Franks, P. W., 2018, In: Diabetes. 67, 10, p. 1911-1922 12 p.

N/A

2018